Lead Data Architect

Jobtailor; Pune District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Jobtailor in India markets seeks an Enterprise Data Architect to shape the organisation's data architecture across data & analytics. You will define standards, govern data assets, and drive the data strategy with cross-functional teams.

You will mentor solution architects and engineers, own data lineage, and guide data migration and cloud adoption. A strong background in cloud, big data, ERP and manufacturing domains is preferred.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 12+ years of overall experience in similar roles.
• TOGAF Certified or equivalent.
• Deep understanding of the Data architecture discipline, processes, concepts and analytics best practices.
• Data Governance, Security, Privacy and Compliance requirements for an enterprise.
• Data Dictionary and Cataloguing.
• Data Lake, Datawarehouse, Lakehouse Design, SQL expertise, Data Ingestion techniques.
• Possess strong knowledge of industry best practices around modern data architecture in Cloud and Big Data environments.
• Solutions Modeling, Data Modeling – Logical & Physical.
• Analytical, Structured thinker, Effective Leadership and Communication.
• Background in ERP, Manufacturing, Engineering and Supply Chain is preferable.
• Azure, Databricks, On-prem solutions (MS BI Suite) preferable.

Responsibilities

• Create Organisation’s Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures.
• Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks.
• Responsible for the design and implementation of Organisation’s enterprise data architecture, ensuring current and future business data and analytical needs.
• Be the custodian of enterprise-wide data lineage from source to target and able to deep dive vertically when required.
• Develop holistic roadmap of Data architecture change initiatives across Organisation, lead from the front to consolidate data requirements across different initiatives.
• Mentor and provide technical oversight to Data Solution Architects, Data Engineers in creating data products to Business adhering to the data architecture and governance standards.
• Plan for team capability growth considering the skills required within the data architecture team and to assist in resourcing decisions.
• Key stakeholder and advisor in all new strategic data and analytics initiatives and ensure alignment to the enterprise data strategy.
• Drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation.
• Responsible for the definition and development of data architecture principles, guidelines, data services, analytical tools, standards, and frameworks required to support Organisation Data architecture.
• Define Data migration strategy and device implementation approach.
• Provide Data Architecture expertise for Projects Delivery, working with Product Mangers and solution architects.
• Work with Enterprise Application teams, stakeholders and Partners to understand target data architecture delivery dependencies and align delivery timelines.
• Provide architectural support to operations and project delivery teams.
• Lead the data solution design efforts and synergize with Data Governance processes.
• Creating templates for data architecture deliverables and artifacts for Projects and supporting data solution architects to complete.
• Evaluate new trends, architect, and deploy new tools, frameworks, and patterns to build sustainable Big Data and Cloud platforms.
• Accountable for defining key indicators of the performance of the Data Architecture.
• Accountable for assuring the alignment of data architecture to the target by decision and coordination among cross projects and enterprise.
• As Enterprise Data Architect, own the following deliverables (not limited to):
• Organisation’s Baseline and Target state Data architecture.
• Catalogue of data sources and systems.
• Data Architecture Artifacts and Design documents.
• Data Architecture standards, principles and guidelines.
• Data Lineage through Systems.

Skills

Analytical thinking

Leadership

Communication

Structured thinking

Education

Bachelor's degree in Computer Science, Engineering, or related field

TOGAF Certified or equivalent

Tools

Azure

Databricks

MS BI Suite

Data Lake

Datawarehouse

Lakehouse Design

SQL

Job description

Responsibilities

• Create Organisation’s Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures.
• Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks.
• Responsible for the design and implementation of Organisation’s enterprise data architecture, ensuring current and future business data and analytical needs.
• Be the custodian of enterprise-wide data lineage from source to target and able to deep dive vertically when required.
• Develop holistic roadmap of Data architecture change initiatives across Organisation, lead from the front to consolidate data requirements across different initiatives.
• Mentor and provide technical oversight to Data Solution Architects, Data Engineers in creating data products to Business adhering to the data architecture and governance standards.
• Plan for team capability growth considering the skills required within the data architecture team and to assist in resourcing decisions.
• Key stakeholder and advisor in all new strategic data and analytics initiatives and ensure alignment to the enterprise data strategy.
• Drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation.
• Responsible for the definition and development of data architecture principles, guidelines, data services, analytical tools, standards, and frameworks required to support Organisation Data architecture.
• Define Data migration strategy and device implementation approach.
• Provide Data Architecture expertise for Projects Delivery, working with Product Mangers and solution architects.
• Work with Enterprise Application teams, stakeholders and Partners to understand target data architecture delivery dependencies and align delivery timelines.
• Provide architectural support to operations and project delivery teams.
• Lead the data solution design efforts and synergize with Data Governance processes.
• Creating templates for data architecture deliverables and artifacts for Projects and supporting data solution architects to complete.
• Evaluate new trends, architect, and deploy new tools, frameworks, and patterns to build sustainable Big Data and Cloud platforms.
• Accountable for defining key indicators of the performance of the Data Architecture.
• Accountable for assuring the alignment of data architecture to the target by decision and coordination among cross projects and enterprise.
• As Enterprise Data Architect, own the following deliverables (not limited to):
• Organisation’s Baseline and Target state Data architecture.
• Catalogue of data sources and systems.
• Data Architecture Artifacts and Design documents.
• Data Architecture standards, principles and guidelines.
• Data Lineage through Systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 12+ years of overall experience in similar roles.
• TOGAF Certified or equivalent.
• Deep understanding of the Data architecture discipline, processes, concepts and analytics best practices.
• Data Solutions Design, Data Integration.
• Data Governance, Security, Privacy and Compliance requirements for an enterprise.
• Data Dictionary and Cataloguing.
• Data Lake, Datawarehouse, Lakehouse Design, SQL expertise, Data Ingestion techniques.
• Possess strong knowledge of industry best practices around modern data architecture in Cloud and Big Data environments.
• Solutions Modeling, Data Modeling – Logical & Physical.
• Analytical, Structured thinker, Effective Leadership and Communication.
• Background in ERP, Manufacturing, Engineering and Supply Chain is preferable.
• Azure, Databricks, On-prem solutions (MS BI Suite) preferable.